r - contrasts error in linear model with one dependent variable and four independent variables -


i new r coding. trying build linear model as:

lmmodel <- lm(dv ~ iv1 + iv2 + iv3 + iv4) 

i have dependent variable money data type (decimal value) , 4 independent variables, mixture of categorical , date:

issuancedate region account clientname price  01-01-2015 south account1 abc 02-01-2015 north account2 na 03-01-2015 northeast account3 bcd 04-01-2015 southeast account4 na 05-01-2015 na account5 m/sbedf 06-01-2015 west account6 campus ltd 07-01-2015 southwest account7 offshoreltd 08-01-2015 northwest account8 sitenew  

price predicted. see below error:

error in contrasts<-(tmp, value = contr.funs[1 + isof[nn]]) : contrasts can applied factors 2 or more levels

you haven't given price in example data, but: problem once rows containing na removed data set, 1 of categorical dependent variables no longer has more single level. can't fit model using categorical variable single level ...


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